讲座主题：Principles and Challenges of Machine Learning
报告人：Witold Pedrycz
讲座时间：2026年4月16日 周四上午10:00-11:30
讲座地点：广师大东校区工业中心803
内容提要：The essence of Machine Learning. Main motivating arguments. Supervised and unsupervised learning. Clustering algorithms: taxonomy of methods, optimization and evaluation schemes. Mechanisms of partial supervision. Challenges in Machine Learning: credibility of models and granularity of results, interpretability and explainability, green machine learning, data privacy and federated learning.
报告人简介：
Witold Pedrycz(IEEE Life Fellow) is Professor in the Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada. He is also with the Systems Research Institute of the Polish Academy of Sciences, Warsaw, Poland. Dr. Pedrycz is a foreign member of the Polish Academy of Sciences and a Fellow of the Royal Society of Canada. He is a recipient of several awards including Norbert Wiener award from the IEEE Systems, Man, and Cybernetics Society, IEEE Canada Computer Engineering Medal, a Cajastur Prize for Soft Computing from the European Centre for Soft Computing, a Killam Prize, a Fuzzy Pioneer Award from the IEEE Computational Intelligence Society, and 2019 Meritorious Service Award from the IEEE Systems Man and Cybernetics Society. His main research directions involve Computational Intelligence, Granular Computing, and Machine Learning, among others.
Professor Pedrycz serves as an Editor-in-Chief ofInformation Sciences, Editor-in-Chief ofWIREs Data Mining and Knowledge Discovery(Wiley), and Co-editor-in-Chief ofInt. J. of Granular Computing(Springer) andJ. of Data Information and Management(Springer).
计算机科学学院
2026年4月8日
